International Journal For Multidisciplinary Research

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Exploring AI-Driven Customer Service: Evolution, Architectures, Opportunities, Challenges and Future Directions

Author(s) Sai Mounika Inavolu
Country United States
Abstract Customer experience plays a decisive role in determining the success of a business, directly impacting customer satisfaction, loyalty, and overall brand perception. In today's fiercely competitive business environment, organizations are increasingly turning to technology to bolster their customer service capabilities. Artificial intelligence (AI) has been transformative in this realm, offering innovative solutions to meet the ever-changing expectations of customers. AI-powered customer service is fundamentally transforming how businesses engage with their clientele by delivering efficient, personalized, and proactive support. This review presents a rigorous analysis of the impact of artificial intelligence (AI) on customer service. It delves into the historical evolution of AI and scrutinizes recent advancements in Natural Language Processing (NLP), machine learning, sentiment analysis, and robotic process automation (RPA). Furthermore, it investigates the incorporation of voice recognition, speech-to-text technologies, AI-driven customer feedback, and survey analysis, AI ethics and explainability, and real-time language translation, as well as the amalgamation of AI with Customer Relationship Management (CRM) systems. The key opportunities identified encompass enhancing efficiency and agent productivity, customizing customer interactions, providing proactive support, improving data collection and insights, and the potential for scalability with 24/7 availability. An array of AI-powered applications and frameworks, such as chatbots, virtual assistants, recommender systems, and predictive analytics, have been systematically evaluated. The implementation of AI-driven customer service, despite its promising benefits, presents numerous challenges. This paper explores impediments such as concerns related to data privacy and security, management of complex queries, preservation of human touch, mitigation of algorithmic bias, and the integration of AI with existing systems. The discussion also encompasses strategies aimed at harmonizing efficiency and personalization, as well as future considerations for enhancing the deployment of AI. The primary objective of this paper is to provide a starting point for creating a comprehensive understanding of AI-driven customer service for industry professionals and researchers seeking to harness AI to improve customer service experiences.
Keywords Artificial Intelligence, AI-Driven Customer Service, Computing Architecture, Machine Learning, Customer Relationship Management (CRM), Chatbots, Customer Experience (CX), Customer Satisfaction, Personalized Customer Interactions
Field Computer > Design
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-06
Cite This Exploring AI-Driven Customer Service: Evolution, Architectures, Opportunities, Challenges and Future Directions - Sai Mounika Inavolu - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.22283
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.22283
Short DOI https://doi.org/gtxrkg
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